| Literature DB >> 33604564 |
Ricardo Goncalves1, Stephen M Christensen2, David M Mosser3.
Abstract
Leishmaniasis can present as a "spectrum" of clinical outcomes. There is evidence that these divergent clinical outcomes are attributable to genetic differences in the human host [1] as well the species of infecting parasite [2]. The spectrum of disease has largely been described by defining the polar opposites of T cell immune responses. In the mouse model, a TH1 immune response is associated with low numbers of Leishmania parasites in lesions, whereas a TH2 immune response has been associated with unrestricted parasite growth. In the present work, we revisit leishmaniasis and seek to better define the clinical spectrum as a function of divergent humoral immune responses. We describe examples in human, canine, and even some murine models of leishmaniasis that reveal a direct correlation between high anti-parasite antibody responses and unrestricted parasite growth. Therefore, we propose that the spectral nature of this disease may be due to quantitative and qualitative differences in the antibodies that are produced during disease. In human visceral leishmaniasis, a decrease in anti-parasite antibody levels may actually predict disease resolution. Thus, rather than defining this disease as a simple TH1/TH2 dichotomy, we propose that clinical leishmaniasis depends on the degree of humoral immunity, with high IgG predicting parasite persistence. These observations have obvious implications for vaccine development in leishmaniasis, and they may extend to other diseases caused by intracellular pathogens.Entities:
Keywords: DTH; Humoral immunity; IgG; Leishmania; Vaccine
Year: 2020 PMID: 33604564 PMCID: PMC7885864 DOI: 10.1016/j.cytox.2020.100046
Source DB: PubMed Journal: Cytokine X ISSN: 2590-1532
Fig. 1(A) Human host immunoglobulin transcripts correlate with Leishmania parasite transcript abundance in lesions. A bar plot (mean + SEM) of the top 20 immunoglobulin transcripts (X-axis) by average reads per kilobase per million reads (RPKM) and separated into healthy skin (n = 10), patient samples containing L. braziliensis transcripts mapping at <0.01% of the total reads in the lesion metatranscriptome (Parasite transcript-negative, n = 10), 0.01–0.5% (Parasite transcript-intermediate, n = 9), 0.5–2.0% (Parasite transcript-pos, n = 6), or patient samples from DCL (n = 6) with >10% of the transcripts mapping to L. amazonensis. Linear regression between parasite transcript abundance and immunoglobulin gene expression showed significant correlation for 19 of the top 20 (all but IGHV1-18) and 67% of all captured immunoglobulin transcripts (106/159).